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The Hough-Based Multibeamlet Transform
2020 IEEE International Conference on Visual Communications and Image Processing (VCIP), 2020There are plenty of geometrical multiresolution transforms devoted to efficient edge representation. However, they have two drawbacks. The first one is that such transforms represent mono edge models. And the second one is that they are often based on approximations which are optimal according to the Mean Square Error what does not necessarily lead to ...
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2019
The Hough Transform is widely used to detect parametrically described curves in an image that can contain noise or partial occlusion. It is shown how a two dimensional linear Hough Transform can be used to identify track candidates within the CMS tracker.
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The Hough Transform is widely used to detect parametrically described curves in an image that can contain noise or partial occlusion. It is shown how a two dimensional linear Hough Transform can be used to identify track candidates within the CMS tracker.
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Probabilistic relaxation and the Hough transform
Pattern Recognition, 2000Abstract We discuss the recent developments in probabilistic relaxation which is used as a tool for contextual sensory data interpretation. The relationship of this technique with the Hough transform is then established, focusing on the Generalised Hough Transform (GHT).
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The dynamic generalized hough transform
1990A new algorithm for computing the Hough transform has been presented. It uses information present in the location of the feature points to reduce the generation of evidence in the transform plane. The algorithm gives improved performance compared with the standard Hough transform. The improvement is in computation time and memory allocation.
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Generalizing the Hough transform to detect arbitrary shapes
Pattern Recognition, 1981D H Ballard
exaly
International Journal of Pattern Recognition and Artificial Intelligence, 1987
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Comparative study of Hough Transform methods for circle finding
Image and Vision Computing, 1990J Princen, J Illingworth, J Kittler
exaly
Accurate and efficient curve detection in images: the importance sampling Hough transform
Pattern Recognition, 2002Adrian Raftery
exaly
Demisting the Hough Transform for 3D Shape Recognition and Registration
International Journal of Computer Vision, 2013Atsuto Maki, Frank Perbet, Bjorn Stenger
exaly